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Beautiful Code
book

Beautiful Code

by Andy Oram, Greg Wilson
June 2007
Intermediate to advanced
618 pages
18h 15m
English
O'Reilly Media, Inc.
Content preview from Beautiful Code

Chapter 1. A Regular Expression Matcher

Brian Kernighan

Regular expressions are notations for describing patterns of text and, in effect, make up a special-purpose language for pattern matching. Although there are myriad variants, all share the idea that most characters in a pattern match literal occurrences of themselves, but some metacharacters have special meaning, such as * to indicate some kind of repetition or […] to mean any one character from the set within the brackets.

In practice, most searches in programs such as text editors are for literal words, so the regular expressions are often literal strings like print, which will match printf or sprint or printer paper anywhere. In so-called wildcards used to specify filenames in Unix and Windows, a * matches any number of characters, so the pattern *.c matches all filenames that end in .c. There are many, many variants of regular expressions, even in contexts where one would expect them to be the same. Jeffrey Friedl’s Mastering Regular Expressions (O’Reilly) is an exhaustive study of the topic.

Stephen Kleene invented regular expressions in the mid-1950s as a notation for finite automata; in fact, they are equivalent to finite automata in what they represent. They first appeared in a program setting in Ken Thompson’s version of the QED text editor in the mid-1960s. In 1967, Thompson applied for a patent on a mechanism for rapid text matching based on regular expressions. The patent was granted in 1971, one of the very first ...

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Publisher Resources

ISBN: 9780596510046Errata Page